We evaluate the performance of our models on Image Copy Detection [1]} task which tests the robustness of models to adversarial attacks. This task has important practical applications in computer vision for various real-world problems such as content integrity, misinformation and user safety. This task involves identifying the source of an altered image within a large collection of unrelated images. The images are altered / manipulated by applying several data distortions such as blur, insertions, print and scan, etc making this a challenging task.
